AMANDA: Semi-supervised density-based adaptive model for non-stationary data with extreme verification latency.

•Two semi-supervised methods for gradual concept-drift.•A method that learns under extreme verification latency scenarios.•A new density based method for concept drift.•Up to 27.98% improvement over state-of-the-art methods for synthetic datasets and real ones.